AI Service — Operations Hub
Service Line: AI
Subservices: Workflow Automation, Knowledge Engineering, Copilots & Agents
Practice Linear Initiative: Establish AI Service
Last updated: 2026-04-01
Quick Links
| Resource | Link |
|---|---|
| Parent hub | README.md |
| GTM offers | ai |
| Practice board | Linear: Delivery — Practice → Establish AI Service |
| SL expectations | expectations-by-cadence.md |
| Success metrics | success-metrics.md |
Current Direction
- Current status: subservices and offer list are proposed by Head of Delivery
- Next owner: AI Service Leads validate naming, merge overlaps, retire weak offers, and complete artifacts
- Naming transition:
Copilots & Agentsis the preferred display name; older implementation references may still useAI Infrastructure
Line-Specific Playbooks
(Stub — populate as playbooks are codified)
| Playbook | Status | Link |
|---|---|---|
| Workflow Automation patterns | 🔴 Draft / TBD | — |
| Knowledge Engineering standards | 🔴 Draft / TBD | — |
| Copilots & Agents runbooks | 🔴 Draft / TBD | — |
Service Line Review Notes
Monthly summaries stored by date:
| Date | Key Themes | Action Items |
|---|---|---|
| 2026-04-XX | — | — |
(Link to vault transcripts or notes as appropriate)
IC Growth & Standards
Hiring profile: (TBD — what makes a strong AI line IC?)
Leveling criteria: (TBD — junior → mid → senior in AI service)
Certification path: (TBD — internal certs or external credentials)
Cross-Client Patterns
Repeated technical debt, stack risks, or reusable assets observed across AI clients:
| Pattern | Clients Affected | Status |
|---|---|---|
| — | — | — |
Related
- Cross-client views — how to see all AI work across clients
- Operating allocation audit — staffing truth